Abstract
Route choice models are widely used for the prediction of passengers and cargo movements by planners. This paper presents the application of a methodology, introduced initially for the prediction of route choice of bicycles, now adapted to motorcycles and trucks. The adaptation of the methodology allowed the improvement of the original analysis algorithm increasing the number of considered network attributes and adding a user related attribute: Value of Time. The case study of truck routes in Tokyo Metropolitan Area produced satisfactory results relating the route choice behavior and the network attributes, especially indicating the relevant attributes to truck trips. As a result, the value of time for trucks in Tokyo and the parameters relating route choice and network attributes were obtained.
